Accurate outdoor ground truth based on total stations

Maxime Vaidis, P. Giguère, F. Pomerleau, V. Kubelka
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引用次数: 8

Abstract

In robotics, accurate ground-truth position fostered the development of mapping and localization algorithms through the creation of cornerstone datasets. In outdoor environments and over long distances, total stations are the most accurate and precise measurement instruments for this purpose. Most total station-based systems in the literature are limited to three Degrees Of Freedoms (DOFs), due to the use of a single-prism tracking approach. In this paper, we present preliminary work on measuring a full pose of a vehicle, bringing the referencing system to six DOFs. Three total stations are used to track in real time three prisms attached to a target platform. We describe the structure of the referencing system and the protocol for acquiring the ground truth with this system. We evaluated its precision in a variety of different outdoor environments, ranging from open-sky to forest trails, and compare this system with another popular source of reference position, the Real Time Kinematics (RTK) positioning solution. Results show that our approach is the most precise, reaching an average positional error of 10 mm and 0.6 deg. This difference in performance was particularly stark in environments where Global Navigation Satellite System (GNSS) signals can be weaker due to overreaching vegetation.
基于全站仪的准确室外地面真相
在机器人技术中,通过创建基础数据集,精确的地面真实位置促进了地图和定位算法的发展。在室外环境和长距离测量中,全站仪是最准确和精密的测量仪器。由于使用单棱镜跟踪方法,大多数基于全站仪的系统在文献中被限制为三个自由度(dof)。在本文中,我们介绍了测量车辆全姿态的初步工作,使参考系统达到6个自由度。三个全站仪用于实时跟踪附着在目标平台上的三个棱镜。我们描述了参考系统的结构和使用该系统获取地面真值的协议。我们评估了它在各种不同的室外环境中的精度,从露天到森林小径,并将该系统与另一种流行的参考位置来源——实时运动学(RTK)定位解决方案进行了比较。结果表明,我们的方法是最精确的,达到了10毫米和0.6度的平均位置误差。这种性能差异在全球导航卫星系统(GNSS)信号可能因过度覆盖植被而变弱的环境中尤为明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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